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公开(公告)号：US11437027B1
公开(公告)日：2022-09-06
申请号：US16703609
申请日：2019-12-04
发明人： Chenlei Guo , Xing Fan , Jin Hock Ong , Kai Wei
IPC分类号： G10L15/197 , G10L15/22 , G10L15/18 , G10L15/30
摘要： Techniques for handling errors during processing of natural language inputs are described. A system may process a natural language input to generate an ASR hypothesis or NLU hypothesis. The system may use more than one data searching technique (e.g., deep neural network searching, convolutional neural network searching, etc.) to generate an alternate ASR hypothesis or NLU hypothesis, depending on the type of hypothesis input for alternate hypothesis processing.
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公开(公告)号：US12033618B1
公开(公告)日：2024-07-09
申请号：US17546502
申请日：2021-12-09
发明人： Kai Wei , Thanh Dac Tran , Grant Strimel
CPC分类号： G10L15/1815 , G06N3/08 , G10L15/063 , G10L15/16 , G10L15/22 , G10L15/28 , G10L2015/228
摘要： Techniques for determining and storing relevant context information for a user input, such as a spoken input, are described. In some embodiments, context information is determined to be relevant on an audio frame basis. Context scores for different types of context data (e.g., prior dialog turn data, user profile data, device information, etc.) are determined for individual audio frames corresponding to a spoken input. Based on the corresponding context scores, the most relevant context is stored in a local context cache. The local context cache is updated as subsequent audio frames, of the user input, are processed. The data stored in the context cache is provided to downstream components to perform tasks such as ASR, NLU and SLU.
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公开(公告)号：US20230047811A1
公开(公告)日：2023-02-16
申请号：US17856090
申请日：2022-07-01
发明人： Chenlei Guo , Xing Fan , Chengyuan Ma , Shuting Tang , Kai Wei
摘要： A system is provided for a self-learning policy engine that can be used by various spoken language understanding (SLU) processing components. The system also provides for sharing contextual information from processing performed by an upstream SLU component to a downstream SLU component to facilitate decision making by the downstream SLU component. The system also provides for a SLU component to select from a variety of actions to take. A SLU component may implement an instance of the self-learning policy that is specifically configured for the particular SLU component.
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公开(公告)号：US20240331686A1
公开(公告)日：2024-10-03
申请号：US18739466
申请日：2024-06-11
发明人： Kai Wei , Thanh Dac Tran , Grant Strimel
CPC分类号： G10L15/1815 , G06N3/08 , G10L15/063 , G10L15/16 , G10L15/22 , G10L15/28 , G10L2015/228
摘要： Techniques for determining and storing relevant context information for a user input, such as a spoken input, are described. In some embodiments, context information is determined to be relevant on an audio frame basis. Context scores for different types of context data (e.g., prior dialog turn data, user profile data, device information, etc.) are determined for individual audio frames corresponding to a spoken input. Based on the corresponding context scores, the most relevant context is stored in a local context cache. The local context cache is updated as subsequent audio frames, of the user input, are processed. The data stored in the context cache is provided to downstream components to perform tasks such as ASR, NLU and SLU.
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公开(公告)号：US20230110205A1
公开(公告)日：2023-04-13
申请号：US17901209
申请日：2022-09-01
发明人： Chenlei Guo , Xing Fan , Jin Hock Ong , Kai Wei
IPC分类号： G10L15/197 , G10L15/22 , G10L15/18
摘要： Techniques for handling errors during processing of natural language inputs are described. A system may process a natural language input to generate an ASR hypothesis or NLU hypothesis. The system may use more than one data searching technique (e.g., deep neural network searching, convolutional neural network searching, etc.) to generate an alternate ASR hypothesis or NLU hypothesis, depending on the type of hypothesis input for alternate hypothesis processing.
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